TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| ECONOMETRICS PR. (ENGLISH) | |
| Code | ECMS402 |
| Name | Econometric Models II |
| Term | 2018-2019 Academic Year |
| Semester | 8. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Lisans Dersi |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. KENAN LOPCU |
| Course Instructor |
Doç. Dr. HALİL İBRAHİM KESKİN
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
By the end of the course, students are expected to be completely mastered funfamental aspects of theTime Series Models, Univariate; Multivariate Time Series Models and be able to use different modelling methods in this regard.
Course Content
This course is the second of two semesters designed to provide students with the application of economic theory and econometric methods. A detailed overview of the econometric methods will be provided and the applications considered most useful will be presented. Economic inferences will be made with taking into account different data types and advanced estimation methods.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Students grasp the fundamental methods of the Time Series Analysis |
| LO02 | Learn the estimation by using time series data and make the statistical inference. |
| LO03 | Estimate the univariate and multivariate time series models and interpret the results economically. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Explains Econometric concepts | 5 |
| PLO02 | - | Acquires basic Mathematics, Statistics and Operation Research concepts | 5 |
| PLO03 | - | Equipped with the foundations of Economics, and develops Economic models | 5 |
| PLO04 | - | Describes the necessary concepts of Business | 3 |
| PLO05 | - | Models problems with Mathematics, Statistics, and Econometrics | 5 |
| PLO06 | - | Estimates the model consistently and analyzes & interprets its results | 5 |
| PLO07 | - | Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems | 5 |
| PLO08 | - | Collects, edits, and analyzes data | 4 |
| PLO09 | - | Uses a package program of Econometrics, Statistics, and Operation Research | 5 |
| PLO10 | - | Effectively works, take responsibility, and the leadership individually or as a member of a team | 4 |
| PLO11 | - | Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study | 4 |
| PLO12 | - | Develops the ability of using different resources in the form of academic rules, synthesis the information gathered, and effective presentation in an area which has not been studied | 4 |
| PLO13 | - | Uses Turkish and at least one other foreign language, academically and in the business context | 5 |
| PLO14 | - | Good understanding, interpretation, efficient written and oral expression of the people involved | 4 |
| PLO15 | - | Improves his/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development | 4 |
| PLO16 | - | Questions traditional approaches and their implementation while developing alternative study programs when required | 5 |
| PLO17 | - | Recognizes and implements social, scientific, and professional ethic values | 4 |
| PLO18 | - | Follows actuality, and interprets the data about economic and social events | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Time Series Models | Readings and problem set | |
| 2 | Time Series Models: a Classification | Readings and problem set | |
| 3 | Time Series Models: a Classification | Readings and problem set | |
| 4 | Univariate Time Series Models | Readings and problem set | |
| 5 | Univariate Time Series Models | Readings and problem set | |
| 6 | Multivariate Time Series Models | Readings and problem set | |
| 7 | Multivariate Time Series Models | Readings and problem set | |
| 8 | Mid-Term Exam | ||
| 9 | Panel Data Models | Readings and problem set | |
| 10 | Modelling Time-Varying Volatility | Readings and problem set | |
| 11 | Modelling Time-Varying Volatility | Readings and problem set | |
| 12 | Univariate GARCH Models | Readings and problem set | |
| 13 | Univariate GARCH Models | Readings and problem set | |
| 14 | Multivariate GARCH Models | Readings and problem set | |
| 15 | Multivariate GARCH Models | Readings and problem set | |
| 16 | Term Exams | ||
| 17 | Term Exams |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||